Features
Generative AI design of novel enzyme sequences
Ultra-high-throughput screening (1000-fold more variants)
Multi-property optimization (activity, stability, manufacturability)
Proprietary engineered enzymes for molecular biology
Custom enzyme engineering services
AI models fine-tuned on internal screening data
75% faster enzyme development vs. traditional methods
80% lower screening costs compared to traditional methods
Rapid iteration across millions of variants
Industrial-grade enzyme delivery
Contact-based project initiation
Autonomous hypothesis generation with agentic AI
Multimodal patient data integration (spatial, multi-omics, clinical)
Clinical trial design and patient stratification
Patient and population analytics
Early portfolio decision insights
Patient validation through wet lab infrastructure
Target ID engine distinguishing novel from rediscovery
Collaborative network of 30+ academic centers
Multi-year partnership with Sanofi for custom AI agents
NVIDIA collaboration for biological benchmark testing
Narrows search space in aging research
K Pro connected to front-end user feedback
Support for antibody-drug conjugate development via spatial biology
